Dataset Versions

v5

2023-02-02 8:48pm

Generated on Feb 2, 2023

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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Dataset Split

Train Set 83%
2511Images
Valid Set 11%
324Images
Test Set 6%
189Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Tile: 3 rows x 3 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -20° and +20°
Shear: ±10° Horizontal, ±20° Vertical
Blur: Up to 10px
Noise: Up to 5% of pixels
Cutout: 20 boxes with 5% size each
Mosaic: Applied

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